Abstract: A method for providing a function by a group of computing units in which computation instances are executed, each computation instance implementing the function using at least one algorithm and being set up to determine at least one result in response to a call of the function. The method includes: determining an integrity level for each of the computation instances; receiving a function request from a subscriber, the function request including a quality requirement that includes an integrity requirement; selecting a plurality of the computation instances corresponding to the quality requirement, so that the integrity level of the selected computation instances corresponds to the integrity requirement; calling the function in the selected computation instances corresponding to the function request in order to determine a plurality of results; determining a response based on the results, taking into account the quality requirement; and sending the response to the subscriber.

Abstract: A method for creating a measuring system having at least two measuring devices is disclosed. The method includes (i) identifying at least one ambient condition affecting a function of the at least two measuring devices of the measuring system, (ii) determining the failure probability of the measuring system in the presence of the at least one identified ambient condition, taking into account a positive and/or a negative error dependency between the at least two measuring devices, (iii) adjusting at least one of the at least two measuring devices such that the negative error dependence between the at least two measuring devices is increased, (iv) and creating the measuring system having the at least two measuring devices.

Abstract: A computer-implemented method for behavior planning of a vehicle, a processing device, and a vehicle control device.

Abstract: A sensor has a sensor element, a sensor data output, a data interface, sensor electronics, and an evaluation apparatus. The sensor element is configured to determine a physical measured variable. The sensor electronics are configured to convert the physical measured variable into sensor data that are output via the sensor data output. The evaluation apparatus is configured to determine a grade of the sensor data based on at least one parameter and to output the grade using the data interface.

Abstract: A method for controlling a vehicle. In the method, data of a digital road map are read in, zones are determined for the digital road map, and possible sequences of trips along a road of the digital road map are ascertained as a function of the determined zones. Furthermore, it is ascertained, as a function of sensor data and/or current driving data of the vehicle, whether a current or predicted traffic situation is outside the possible sequences or corresponds to a possible sequence that is determined as being outside an intended operating range. If the current or predicted traffic situation is outside the possible sequences or corresponds to the possible sequence outside the intended operating range, a measure is determined and the vehicle is controlled as a function of the measure that is taken.

Abstract: A method for evaluating suitability route sections of a digital map storing landmarks for automated driving operation of a vehicle is provided. For each route section of the digital map a spatial density of landmarks is determined, an expected recognizability of the landmarks is determined by a vehicle sensor system under predetermined ambient conditions, a classification is performed based on the determined density and recognizability of the landmarks as to whether a vehicle can be located on the route section with a minimum accuracy required for a predetermined operating mode and/or for a predetermined driving maneuver, and a classification result is stored as a data record in a route attribute associated with the route section, the route attribute indicating for which of the predetermined operating modes and/or driving maneuvers requirements for the minimum accuracy of the landmark-based vehicle localization are met under which of the predetermined environmental conditions.

Abstract: A method for controlling a robotic device. In the method, for a version of a control software which is not the initial version of the control software for which the test values delivered by the tests at least partially do not fall within predefined ranges, it is checked whether that version of the control software fulfills safety criteria that have been created for a previous version (and are fulfilled by that version) for which the test values delivered by the tests at least partially do not fall within the predefined ranges, but was safe. If this is the case, the robotic device is controlled with that version of the control software.

Abstract: A method for providing a function via a network of processing units using multiple computing instances. Each computing instance implements the function and is configured, when it is executed, to determine at least one result in response to a call-up of the function. The method includes validating the computing instances, each being checked as to whether the computing instance corresponds to a respective predetermined state; determining a respective level of reliability for each of the processing units; starting execution of successfully validated computing instances in the processing units, which have a level of reliability that is equal/greater than a predetermined minimum level of reliability; receiving a function request from a user; calling up the function in at least a portion of the executed computing instances corresponding to the function request, in order to determine multiple results; determining a response based on the results; and sending the response to the user.

Abstract: A method for ascertaining a configuration of an output of safety-relevant and non-safety-relevant information for a user of an AR device, in particular AR glasses. The method includes: receiving first data, wherein the first data are specific to at least one object in the in particular indirect and/or immediate surroundings of the user; ascertaining a safety relevance of the at least one object to the user on the basis of the first data; generating an output signal to the AR device depending on the ascertained safety relevance such that the AR device outputs safety-relevant information relating to the at least one object with a higher priority than non-safety-relevant information.

Abstract: A method for ascertaining a configuration of a user-state-dependent output of safety-relevant and non-safety-relevant information for a user of an AR device, in particular a pair of AR glasses. The method includes: receiving first data, wherein the first data are specific to at least one object in an, in particular indirect and/or direct, environment of the user; receiving second data, wherein the second data are specific to the user; ascertaining a safety relevance of the at least one object to the user on the basis of the first data and/or the second data; ascertaining a state of the user on the basis of the second data; generating an output signal to the AR device depending on the ascertained safety relevance and the ascertained state of the user.

Abstract: A method for processing sensor data in a control device of a vehicle. The method includes: evaluating sensor data generated by different sensors of the vehicle for detecting its environment, via different evaluation functions which convert at least part of the sensor data as input data into output data, wherein the output data are assigned a priority using an assignment rule based on known insufficiencies of the sensors and/or the evaluation functions and the output data are used according to their priority in order to update an environment model that stores information about objects in the environment of the vehicle; recognizing an insufficiency that differs from the known insufficiencies using at least a part of the sensor data and/or at least a part of the output data; updating the assignment rule based on the recognized insufficiency.

Abstract: The invention relates to a processed dairy-type food product comprising phytic acid salt, the dairy product having a pH between 4.5 and 8, preferably 5 and 8. The dairy-type product can for example be a dairy cheese product, high protein dairy beverage, or a plant based, vegan cheese or beverage. The amount of phytate, calculated as phytic acid, generally is between about 0.05-5 wt % in the finished product and provides one or more of the following properties: emulsification, metal-ion sequestering, pH regulating, texture-enhancing, and flavor-improving agents. The phytate can be used as replacement for phosphate additives in food.

Abstract: A method for checking a digital map of an environment of a motor vehicle. The method includes: transmitting the digital map by the motor vehicle to an out-of-vehicle checking system via a communication network in order to check the digital map by means of the checking system; receiving, by the motor vehicle, an out-of-vehicle check result of the digital map from the checking system via the communication network; checking the digital map by the motor vehicle on the basis of environment sensor data representing the environment of the motor vehicle from an environment sensor system of the motor vehicle in order to ascertain an in-vehicle check result; comparing the out-of-vehicle check result with the in-vehicle check result in order to ascertain a comparison result; ascertaining at least one action to be carried out by the motor vehicle on the basis of the comparison result.

Abstract: A method for monitoring a distributed system, in which a change in a composition of components of the system is provided in an ongoing operation of the system. The method includes: carrying out a component check in which an incompatibility of the components with one another is identified; carrying out an interface check in which an incompatibility of at least one interface between the components is identified. The component check and the interface check in the case of the change in the composition of the components are carried out repeatedly in ongoing operation of the system.

Abstract: A method for fulfilling a safety requirement of at least one vehicle in a driving situation at a point in time t. The method includes: determining a first safeguarded and position-dependent environment region of the vehicle; determining a second safety-relevant and position-dependent environment region of the vehicle; checking whether the second environment region is covered by the first environment region in the driving situation of the vehicle, and, if not, generating an item of environment region information of the vehicle based on the detected first and second environment regions and a perception function corresponding to the generation of each of the environment regions; transmitting the environment region information to an application; evaluating the environment region information by the application; and generating at least one item of suggestion information so that the safety requirement for the driving situation at the point in time t of the vehicle is fulfilled.

Abstract: The present invention relates to a process for preparing a vegan edible product from edible non-animal proteins which comprises the following steps i to iii.: (i) providing a malleable mass by mixing the following components: a) 7 to 20% by weight, in particular 10 to 18% by weight and especially 13 to 16% by weight, based on the total weight of the malleable mass, of an edible protein component A, which is selected from the group consisting of edible vegetable protein materials, microbial protein materials and mixtures thereof; b) 1 to 3.3% by weight, in particular 1.1 to 2.8% by weight, especially 1.2 to 2.3% by weight, based on the total weight of the malleable mass, of a water-soluble organic polymeric gelling agent which is capable of being gelled by calcium ions as a component B, which is a water-soluble polysaccharide bearing carboxyl groups or a water soluble salt thereof; c) optionally 0.05 to 1% by weight, in particular 0.1 to 0.9% by weight, especially 0.2 to 0.

Abstract: The present invention relates to a process for preparing an edible product, in particular a vegan edible product from edible non-animal proteins which comprises the following steps i. to iv.: i.

Abstract: Methods and systems for multi-hypothesis object tracking for automated driving systems. One system includes an electronic processor configured to receive environment information and generate pseudo-measurement data associated with an object within an environment of the vehicle. The electronic processor is also configured to determine, based on the environment information and the pseudo-measurement data, a set of association hypotheses regarding the object. The electronic processor is also configured to determine, based on the set of association hypotheses, an object state of the object. The electronic processor is also configured to control the vehicle based on the determined object state.

Abstract: A method for processing sensor data representing one or more objects. The method includes semantically segmenting the sensor data so that the sensor data are divided into sensor data portions so that, for each of the one or more objects, a respective sensor data portion contains that part of the sensor data that represents the object; ascertaining, for a processing task through which the sensor data are to be processed, a division of the processing task into subtasks comprising at least one subtask to be outsourced, wherein it is ensured that each subtask to be outsourced processes respective sub-data of the sensor data, which sub-data contain, for each sensor data portion, at most a part of the sensor data portion; and outsourcing the at least one subtask to be outsourced.

Abstract: A method for carrying out data processing. The method includes: creating, by one or more human programmers, a first computer program for a predetermined data processing task; creating a plurality of second computer programs for the predetermined data processing task, wherein each of the computer programs is created by an artificial intelligence; processing an input by the first computer program to ascertain a first processing result, and processing the input by each of the plurality of second computer programs to ascertain a respective second processing result; ascertaining a number of computer programs among the second computer programs whose second processing result contradicts the first processing result; checking whether the number of computer programs among the second computer programs whose second processing result contradicts the first processing result is greater than a predetermined threshold, which is greater than or equal to two; and initiating a safety measure.